IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v172y2016icp66-79.html
   My bibliography  Save this article

Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit

Author

Listed:
  • Safdarnejad, Seyed Mostafa
  • Hedengren, John D.
  • Baxter, Larry L.

Abstract

Recently promulgated regulations of the US Environmental Protection Agency (EPA) aggressively limit CO2 emissions from the US power industry. Carbon capture and increased utilization of renewable energy sources are viable approaches to reduce CO2 emissions from the power industry. Cryogenic carbon capture considered in this study is a post-combustion CO2 removal system that separates CO2 from the flue gas by desublimation. In this investigation, a hybrid system of cryogenic carbon capture and a baseline fossil-fueled power generation unit are optimized with a framework to mathematically represent this hybrid system. Optimization of this hybrid system results in meeting the electricity demand through a combination of coal, gas, and wind power sources with a priority given to wind power for utilization. A comparison of the cost associated with operating the steam turbine as a baseline or load-following unit is also made. A significant decrease in the cycling cost associated with load-following of the coal-fired power plant is observed when it operates as a baseline unit. The decrease in the cycling costs is 82% and 85%, respectively, for when wind power is utilized in meeting the electricity demand and when it is not. The saving in the cycling costs is attributed to the energy storage of cryogenic carbon capture.

Suggested Citation

  • Safdarnejad, Seyed Mostafa & Hedengren, John D. & Baxter, Larry L., 2016. "Dynamic optimization of a hybrid system of energy-storing cryogenic carbon capture and a baseline power generation unit," Applied Energy, Elsevier, vol. 172(C), pages 66-79.
    • Handle: RePEc:eee:appene:v:172:y:2016:i:c:p:66-79
    DOI: 10.1016/j.apenergy.2016.03.074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916303944
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.03.074?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fazlollahi, Farhad & Bown, Alex & Ebrahimzadeh, Edris & Baxter, Larry L., 2016. "Transient natural gas liquefaction and its application to CCC-ES (energy storage with cryogenic carbon capture™)," Energy, Elsevier, vol. 103(C), pages 369-384.
    2. Brodrick, Philip G. & Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2015. "Optimization of carbon-capture-enabled coal-gas-solar power generation," Energy, Elsevier, vol. 79(C), pages 149-162.
    3. Fazlollahi, Farhad & Bown, Alex & Ebrahimzadeh, Edris & Baxter, Larry L., 2015. "Design and analysis of the natural gas liquefaction optimization process- CCC-ES (energy storage of cryogenic carbon capture)," Energy, Elsevier, vol. 90(P1), pages 244-257.
    4. Cormos, Calin-Cristian, 2012. "Integrated assessment of IGCC power generation technology with carbon capture and storage (CCS)," Energy, Elsevier, vol. 42(1), pages 434-445.
    5. Xu, Gang & Yang, Yong-ping & Ding, Jie & Li, Shoucheng & Liu, Wenyi & Zhang, Kai, 2013. "Analysis and optimization of CO2 capture in an existing coal-fired power plant in China," Energy, Elsevier, vol. 58(C), pages 117-127.
    6. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2011. "Optimal operation of an integrated energy system including fossil fuel power generation, CO2 capture and wind," Energy, Elsevier, vol. 36(12), pages 6806-6820.
    7. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Baxter, Larry L., 2015. "Plant-level dynamic optimization of Cryogenic Carbon Capture with conventional and renewable power sources," Applied Energy, Elsevier, vol. 149(C), pages 354-366.
    8. Ebrahimzadeh, Edris & Wilding, Paul & Frankman, David & Fazlollahi, Farhad & Baxter, Larry L., 2016. "Theoretical and experimental analysis of dynamic heat exchanger: Retrofit configuration," Energy, Elsevier, vol. 96(C), pages 545-560.
    9. Gopan, Akshay & Kumfer, Benjamin M. & Phillips, Jeffrey & Thimsen, David & Smith, Richard & Axelbaum, Richard L., 2014. "Process design and performance analysis of a Staged, Pressurized Oxy-Combustion (SPOC) power plant for carbon capture," Applied Energy, Elsevier, vol. 125(C), pages 179-188.
    10. Gerbelová, Hana & Versteeg, Peter & Ioakimidis, Christos S. & Ferrão, Paulo, 2013. "The effect of retrofitting Portuguese fossil fuel power plants with CCS," Applied Energy, Elsevier, vol. 101(C), pages 280-287.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hossein Asgharian & Florin Iov & Samuel Simon Araya & Thomas Helmer Pedersen & Mads Pagh Nielsen & Ehsan Baniasadi & Vincenzo Liso, 2023. "A Review on Process Modeling and Simulation of Cryogenic Carbon Capture for Post-Combustion Treatment," Energies, MDPI, vol. 16(4), pages 1-35, February.
    2. Song, Chunfeng & Liu, Qingling & Ji, Na & Deng, Shuai & Zhao, Jun & Li, Yang & Kitamura, Yutaka, 2017. "Reducing the energy consumption of membrane-cryogenic hybrid CO2 capture by process optimization," Energy, Elsevier, vol. 124(C), pages 29-39.
    3. Yuzhuo Zhang & Xingang Zhao & Yi Zuo & Lingzhi Ren & Ling Wang, 2017. "The Development of the Renewable Energy Power Industry under Feed-In Tariff and Renewable Portfolio Standard: A Case Study of China’s Photovoltaic Power Industry," Sustainability, MDPI, vol. 9(4), pages 1-23, March.
    4. Haoran Zhao & Sen Guo & Huiru Zhao, 2017. "Energy-Related CO 2 Emissions Forecasting Using an Improved LSSVM Model Optimized by Whale Optimization Algorithm," Energies, MDPI, vol. 10(7), pages 1-15, June.
    5. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Powell, Kody M., 2018. "Performance comparison of low temperature and chemical absorption carbon capture processes in response to dynamic electricity demand and price profiles," Applied Energy, Elsevier, vol. 228(C), pages 577-592.
    6. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J. & Jayaweera, Indira, 2016. "Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique," Applied Energy, Elsevier, vol. 179(C), pages 1209-1219.
    7. Shuyu Dai & Dongxiao Niu & Yaru Han, 2018. "Forecasting of Energy-Related CO 2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    8. Mojica, Jose L. & Petersen, Damon & Hansen, Brigham & Powell, Kody M. & Hedengren, John D., 2017. "Optimal combined long-term facility design and short-term operational strategy for CHP capacity investments," Energy, Elsevier, vol. 118(C), pages 97-115.
    9. Daw Saleh Sasi Mohammed & Muhammad Murtadha Othman & Ahmed Elbarsha, 2020. "A Modified Artificial Bee Colony for Probabilistic Peak Shaving Technique in Generators Operation Planning: Optimal Cost–Benefit Analysis," Energies, MDPI, vol. 13(12), pages 1-23, June.
    10. Guiyan Zang & Jianan Zhang & Junxi Jia & Nathaniel Weger & Albert Ratner, 2019. "Clean Poultry Energy System Design Based on Biomass Gasification Technology: Thermodynamic and Economic Analysis," Energies, MDPI, vol. 12(22), pages 1-18, November.
    11. Huiru Zhao & Guo Huang & Ning Yan, 2018. "Forecasting Energy-Related CO 2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China," Energies, MDPI, vol. 11(4), pages 1-21, March.
    12. He, Tianbiao & Nair, Sajitha K. & Babu, Ponnivalavan & Linga, Praveen & Karimi, Iftekhar A., 2018. "A novel conceptual design of hydrate based desalination (HyDesal) process by utilizing LNG cold energy," Applied Energy, Elsevier, vol. 222(C), pages 13-24.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Powell, Kody M., 2018. "Performance comparison of low temperature and chemical absorption carbon capture processes in response to dynamic electricity demand and price profiles," Applied Energy, Elsevier, vol. 228(C), pages 577-592.
    2. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J. & Jayaweera, Indira, 2016. "Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique," Applied Energy, Elsevier, vol. 179(C), pages 1209-1219.
    3. Song, Chunfeng & Liu, Qingling & Deng, Shuai & Li, Hailong & Kitamura, Yutaka, 2019. "Cryogenic-based CO2 capture technologies: State-of-the-art developments and current challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 265-278.
    4. Safdarnejad, Seyed Mostafa & Hedengren, John D. & Baxter, Larry L., 2015. "Plant-level dynamic optimization of Cryogenic Carbon Capture with conventional and renewable power sources," Applied Energy, Elsevier, vol. 149(C), pages 354-366.
    5. Song, Chunfeng & Liu, Qingling & Ji, Na & Deng, Shuai & Zhao, Jun & Li, Yang & Kitamura, Yutaka, 2017. "Reducing the energy consumption of membrane-cryogenic hybrid CO2 capture by process optimization," Energy, Elsevier, vol. 124(C), pages 29-39.
    6. Cormos, Calin-Cristian, 2014. "Economic evaluations of coal-based combustion and gasification power plants with post-combustion CO2 capture using calcium looping cycle," Energy, Elsevier, vol. 78(C), pages 665-673.
    7. Shuyu Dai & Dongxiao Niu & Yaru Han, 2018. "Forecasting of Energy-Related CO 2 Emissions in China Based on GM(1,1) and Least Squares Support Vector Machine Optimized by Modified Shuffled Frog Leaping Algorithm for Sustainability," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    8. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2018. "Optimal design and operation of integrated solar combined cycles under emissions intensity constraints," Applied Energy, Elsevier, vol. 226(C), pages 979-990.
    9. Saghafifar, Mohammad & Gadalla, Mohamed, 2017. "Thermo-economic optimization of hybrid solar Maisotsenko bottoming cycles using heliostat field collector: Comparative analysis," Applied Energy, Elsevier, vol. 190(C), pages 686-702.
    10. Yang, Shanju & Fu, Bao & Hou, Yu & Chen, Shuangtao & Li, Zhiguo & Wang, Shaojin, 2019. "Transient cooling and operational performance of the cryogenic part in reverse Brayton air refrigerator," Energy, Elsevier, vol. 167(C), pages 921-938.
    11. Yuzhuo Zhang & Xingang Zhao & Yi Zuo & Lingzhi Ren & Ling Wang, 2017. "The Development of the Renewable Energy Power Industry under Feed-In Tariff and Renewable Portfolio Standard: A Case Study of China’s Photovoltaic Power Industry," Sustainability, MDPI, vol. 9(4), pages 1-23, March.
    12. Sanjana Dhingra & Purvil Khakharia & Alexander Rieder & Ashleigh Cousins & Alicia Reynolds & Jacob Knudsen & Jimmy Andersen & Robin Irons & Jan Mertens & Mohammad Abu Zahra & Peter Van Os & Earl Goeth, 2017. "Understanding and Modelling the Effect of Dissolved Metals on Solvent Degradation in Post Combustion CO 2 Capture Based on Pilot Plant Experience," Energies, MDPI, vol. 10(5), pages 1-15, May.
    13. Huiru Zhao & Guo Huang & Ning Yan, 2018. "Forecasting Energy-Related CO 2 Emissions Employing a Novel SSA-LSSVM Model: Considering Structural Factors in China," Energies, MDPI, vol. 11(4), pages 1-21, March.
    14. Lara, Y. & Martínez, A. & Lisbona, P. & Romeo, L.M., 2016. "Heat integration of alternative Ca-looping configurations for CO2 capture," Energy, Elsevier, vol. 116(P1), pages 956-962.
    15. Teichgraeber, Holger & Brodrick, Philip G. & Brandt, Adam R., 2017. "Optimal design and operations of a flexible oxyfuel natural gas plant," Energy, Elsevier, vol. 141(C), pages 506-518.
    16. Wang, Fu & Deng, Shuai & Zhao, Jun & Wang, Junyao & Sun, Taiwei & Yan, Jinyue, 2017. "Performance and economic assessments of integrating geothermal energy into coal-fired power plant with CO2 capture," Energy, Elsevier, vol. 119(C), pages 278-287.
    17. Haoran Zhao & Sen Guo & Huiru Zhao, 2017. "Energy-Related CO 2 Emissions Forecasting Using an Improved LSSVM Model Optimized by Whale Optimization Algorithm," Energies, MDPI, vol. 10(7), pages 1-15, June.
    18. Rohlfs, Wilko & Madlener, Reinhard, 2013. "Assessment of clean-coal strategies: The questionable merits of carbon capture-readiness," Energy, Elsevier, vol. 52(C), pages 27-36.
    19. Mikulčić, Hrvoje & Ridjan Skov, Iva & Dominković, Dominik Franjo & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Tan, Raymond & Duić, Neven & Hidayah Mohamad, Siti Nur & Wang, Xuebin, 2019. "Flexible Carbon Capture and Utilization technologies in future energy systems and the utilization pathways of captured CO2," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    20. Dai, Gaofeng & Zhang, Jiaye & Wang, Xuebin & Tan, Houzhang & Rahman, Zia ur, 2022. "Calcination and desulfurization characteristics of calcium carbonate in pressurized oxy-combustion," Energy, Elsevier, vol. 261(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:172:y:2016:i:c:p:66-79. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.